Discrimination and numerical analysis of human pathogenic Candida albicans strains based on SDS-PAGE protein profiles

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dc.contributor.authorBerber, İsmet
dc.contributor.authorEkin, Suat
dc.date.accessioned2014-08-14T12:04:37Z
dc.date.available2014-08-14T12:04:37Z
dc.date.issued2008
dc.description.abstractIn the present study, 21 Candida albicans strains were investigated using the commercial kit API 20C AUX system and the numerical analysis of whole-cell protein profiles. The results of the commercial kit confirmed that the all the strains belonged to C. albicans species. However, the research indicated that SDS-PAGE of polypeptides of whole-cell extracts can provide more valuable taxonomic information than conventional yeast test kits at the subspecies level. Despite the fact that C. albicans subtypes isolated from different anatomical sites had similar protein profiles, there were some distinctive protein bands. Numerical analysis of whole-cell protein profiles of all strains revealed 2 major clusters at similarity degrees of between 46.26 and 100%. Moreover, the results of numerical analysis confirmed that each cluster had characteristic and distinctive protein profiles. The research showed that, the morphological examination of yeast isolates remains essential to obtaining a correct identification, both the commercial yeast kit system and the numerical analysis of whole-cell protein patterns can be useful for the more reliable identification of C. albicans strains.
dc.identifier.citationBerber, İ., Ekin, S. "Discrimination and numerical analysis of human pathogenic Candida albicans strains based on SDS-PAGE protein profiles". African Journal of Biotechnology, Vol. 7 (4), pp. 425-429, 19 February, 2008.
dc.identifier.issn1684–5315
dc.identifier.urihttp://www.academicjournals.org/article/article1379925335_Berber%20and%20Ekin.pdf
dc.identifier.urihttps://hdl.handle.net/11486/325
dc.language.isoen
dc.publisherAfrican Journal of Biotechnology
dc.relation.publicationcategoryMakale - Kategorisiz
dc.subjectCandida albicans
dc.subjectNumerical Analysis
dc.subjectSDS-PAGE and whole-cell protein patterns
dc.titleDiscrimination and numerical analysis of human pathogenic Candida albicans strains based on SDS-PAGE protein profiles
dc.typeArticle

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